Control Strategies of Large-scale Residential Air Conditioning Loads Participating in Demand Response Programs|Jixiang Wang;Xingying Chen;Jun Xie;Shuyang Xu;Kun Yu;Lei Gan - 期刊导航|首站-论文投稿智能助手|论文发表|论文智能投稿|期刊自助发表推荐|杂志社快速发表|查同导刊-域田数据官方网站

典型文献

Control Strategies of Large-scale Residential Air Conditioning Loads Participating in Demand Response Programs

文献摘要：

Residential air conditioning(RAC)loads have great potential to be included in demand response(DR)programs.This paper studies large-scale RAC loads participating in DR programs,such as modeling,parameters identification,DR char-acteristics and control strategies.First,an aggregate model of large-scale RAC loads are established based on the buildings'performance with heat storage and insulation,avoiding the calculation of a single RAC model.Then,parameters of the aggregate model are identified based on the RACs'power and outdoor temperatures.Based on the aggregate model,DR characteristics of RAC loads are analyzed,including the dynamic relationship between power,outdoor and indoor temperature,and the potential of DR combined with the users'comfort.Next,the DR control strategies adapted for large-scale RAC loads are established by adjusting the temperature set-points.The DR strategies consider users'comfort and calculate the control signals of each RAC load according to the DR power,including adjustment temperature and adjustment time,which are sent to each RAC load for execution.In the DR process,the control center does not need to obtain the users'indoor temperature,which is conducive to protecting the users'privacy.DR strategies of RAC loads when the control degree within/beyond the DR potential are both proposed,and a load recovery control strategy is also introduced.Finally,the effectiveness and accuracy of the proposed model and DR control strategies are verified by simulation results.

文献关键词：

中图分类号：

[1] 医药、卫生（R） / 神经病学与精神病学（R74） / 神经病学（R741）

[2] 医药、卫生（R） / 药学（R9） / 药理学（R96） / 实验药理学（R965）

[3] 医药、卫生（R） / 基础医学（R3） / 病理学（R36） / 病理过程（R364）

作者姓名：

Jixiang Wang;Xingying Chen;Jun Xie;Shuyang Xu;Kun Yu;Lei Gan

作者机构：

College of Energy and Electrical Engineering,Hohai University,Nanjing 211100,China

文献出处：

中国电机工程学会电力与能源系统学报（英文版）

引用格式：

[1]Jixiang Wang;Xingying Chen;Jun Xie;Shuyang Xu;Kun Yu;Lei Gan-.Control Strategies of Large-scale Residential Air Conditioning Loads Participating in Demand Response Programs)[J].中国电机工程学会电力与能源系统学报（英文版）,2022(03):880-893

A类：

RACs

B类：

Control,Strategies,Large,scale,Residential,Air,Conditioning,Loads,Participating,Demand,Response,Programs,air,conditioning,loads,have,great,potential,included,demand,response,DR,programs,This,paper,studies,large,participating,such,modeling,parameters,identification,control,strategies,First,aggregate,are,established,buildings,performance,heat,storage,insulation,avoiding,calculation,single,Then,identified,power,outdoor,temperatures,Based,characteristics,analyzed,including,dynamic,relationship,between,indoor,combined,users,comfort,Next,adapted,by,adjusting,set,points,consider,calculate,signals,each,according,adjustment,which,sent,execution,In,process,center,does,not,need,obtain,conducive,protecting,privacy,when,degree,within,beyond,both,proposed,recovery,strategy,also,introduced,Finally,effectiveness,accuracy,verified,simulation,results

AB值：

0.487777

相似文献

Dynamic Response Analysis and Vibration Control for A Fixed-Bottom Offshore Wind Turbine Subjected to Multiple External Excitations

XIE Shuang-yi;ZHANG Cheng-lin;HE Jiao;JIANG Jing;GAO Jian-College of Mechanical Engineering,Chongqing University of Technology,Chongqing 400054,China;Fishery Machinery and Instrument Research Institute,Chinese Academy of Fishery Sciences,Shanghai 200092,China;College of Engineering Science and Technology,Shanghai Ocean University,Shanghai 201306,China;School of Mechanical and Power Engineering,Chongqing University of Science&Technology,Chongqing 401331,China;Chongqing Vocational College of Public Transportation,Chongqing 402247,China;Beijing Institute of Precision Mechatronics and Controls,Beijing 100076,China

Modeling and Analyzing Dynamic Response for An Offshore Bottom-Fixed Wind Turbine with Individual Pitch Control

XIE Shuang-yi;ZHANG Kai-fei;HE Jiao;GAO Jian;ZHANG Cheng-lin-College of Mechanical Engineering,Chongqing University of Technology,Chongqing 400044,China;School of Mechanical and Power Engineering,Chongqing University of Science&Technology,Chongqing 401331,China;Beijing Institute of Precision Mechatronics and Controls,Beijing 100076,China;Fishery Machinery and Instrument Research Institute,Chinese Academy of Fishery Sciences,Shanghai 200092,China;College of Engineering Science and Technology,Shanghai Ocean University,Shanghai 201306,China

An Improved Time Domain Approach for Analysis of Floating Bridges Based on Dynamic Finite Element Method and State-Space Model

XIANG Sheng;CHENG Bin;ZHANG Feng-yu;TANG Miao-Department of Civil Engineering,Shanghai Jiao Tong University,Shanghai 200240,China;State Key Laboratory of Ocean Engineering,Shanghai Jiao Tong University,Shanghai 200240,China;Shanghai Key Laboratory for Digital Maintenance of Buildings and Infrastructure,Shanghai Jiao Tong University,Shanghai 200240,China;College of Civil Engineering,Fuzhou University,Fuzhou 350108,China

Data Concurrent Transmission MAC Protocol for Application Oriented Underwater Acoustic Sensor Networks

Xiaoxiao Zhuo;Hong Yang;Meiyan Liu;Yan Wei;Guanding Yu;Fengzhong Qu-The Key Laboratory of Ocean Observation-Imaging Testbed of Zhejiang Province,Zhejiang University,Zhoushan 316021,China;The Engineering Research Center of Oceanic Sensing Technology and Equipment,Ministry of Education,Zhejiang University,Zhoushan 316021,China;The College of Information Science and Electronic Engineering,Zhejiang University,Hangzhou 310027,China

Price-Based Residential Demand Response Management in Smart Grids: A Reinforcement Learning-Based Approach